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Research Based on Lee Algorithm and Genetic Algorithm of the Automatic External Pipe Routing of the Aircraft Engine

机译:基于LEE算法和飞机发动机自动外管道路由遗传算法的研究

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The casing of aeroengine has the characteristics of rotating surface, and more than one hundred pipes are decorated between the casing and outer surface of the nacelle. For the narrow space and various constraints of pipe routing, manual pipe routing is not only labor intensive, but also difficult to ensure the accuracy. To resolve the problem of automatic pipe routing of the aircraft engine, a novel method based on lee algorithm and genetic algorithm is proposed. Firstly, a 3D environment of pipe routing is built and then the initial population for the genetic algorithm is formed by lee algorithm combined with roulette method. Each chromosome of the population represents a possible solution of pipe routing. Secondly, a variable length coding scheme based on chain table is used for chromosome encoding. The genetic manipulation includes selection, crossover and mutation. This paper presents the fitness function based on the constraint condition of pipeline routing. Finally, the useful and feasibility of this method is developed and verified by developing an automatic pipe routing module based on UG and VC.
机译:航空发动机的外壳具有旋转表面的特点,并且在机舱的壳体和外表面之间装饰了多于一百个管道。对于狭窄的空间和管道路由的各种约束,手动管道路由不仅劳动密集型,而且难以确保准确性。为了解决飞机发动机的自动管道路由问题,提出了一种基于LEE算法和遗传算法的新方法。首先,建造了管道路由的3D环境,然后通过LEE算法与轮盘法组合形成遗传算法的初始群体。每种染色体的人口代表了管道路由的可能解决方案。其次,基于链表的可变长度编码方案用于染色体编码。遗传操纵包括选择,交叉和突变。本文介绍了基于管道路由的约束条件的健身功能。最后,通过开发基于UG和VC的自动管道路由模块来开发和验证该方法的有用和可行性。

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